Abstract: A system to present the user a 3-D virtual environment as well as non-visual sensory feedback for interactions that user makes with virtual objects in that environment is disclosed. In an exemplary embodiment, a system comprising a depth camera that captures user position and movement, a three-dimensional (3-D) display device that presents the user a virtual environment in 3-D and a haptic feedback device provides haptic feedback to the user as he interacts with a virtual object in the virtual environment. As the user moves through his physical space, he is captured by the depth camera. Data from that depth camera is parsed to correlate a user position with a position in the virtual environment. Where the user position or movement causes the user to touch the virtual object, that is determined, and corresponding haptic feedback is provided to the user.

Abstract: A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses.

Abstract: Depth-image analysis is performed with a device that analyzes a human target within an observed scene by capturing depth-images that include depth information from the observed scene. The human target is modeled with a virtual skeleton including a plurality of joints. The virtual skeleton is used as an input for controlling a driving simulation.

Abstract: A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses.

Abstract: A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses.

Abstract: A method to help a user visualize how a wearable article will look on the user's body. Enacted on a computing system, the method includes receiving an image of the user's body from an image-capture component. Based on the image, a posable, three-dimensional, virtual avatar is constructed to substantially resemble the user. In this example method, data is obtained that identifies the wearable article as being selected for the user. This data includes a plurality of metrics that at least partly define the wearable article. Then, a virtualized form of the wearable article is attached to the avatar, which is provided to a display component for the user to review.

Abstract: Systems, methods and computer readable media are disclosed for gesture shortcuts. A user's movement or body position is captured by a capture device of a system, and is used as input to control the system. For a system-recognized gesture, there may be a full version of the gesture and a shortcut of the gesture. Where the system recognizes that either the full version of the gesture or the shortcut of the gesture has been performed, it sends an indication that the system-recognized gesture was observed to a corresponding application. Where the shortcut comprises a subset of the full version of the gesture, and both the shortcut and the full version of the gesture are recognized as the user performs the full version of the gesture, the system recognizes that only a single performance of the gesture has occurred, and indicates to the application as such.

Abstract: Methods for providing real-time feedback to an end user of a mobile device as they are interacting with or manipulating one or more virtual objects within an augmented reality environment are described. The real-time feedback may comprise visual feedback, audio feedback, and/or haptic feedback. In some embodiments, a mobile device, such as a head-mounted display device (HMD), may determine an object classification associated with a virtual object within an augmented reality environment, detect an object manipulation gesture performed by an end user of the mobile device, detect an interaction with the virtual object based on the object manipulation gesture, determine a magnitude of a virtual force associated with the interaction, and provide real-time feedback to the end user of the mobile device based on the interaction, the magnitude of the virtual force applied to the virtual object, and the object classification associated with the virtual object.

Abstract: A capture device can detect gestures made by a user. The gestures can be used to control a gesture unaware program.

Abstract: A depth image of a scene may be received, observed, or captured by a device. The depth image may include a human target that may have, for example, a portion thereof non-visible or occluded. For example, a user may be turned such that a body part may not be visible to the device, may have one or more body parts partially outside a field of view of the device, may have a body part or a portion of a body part behind another body part or object, or the like such that the human target associated with the user may also have a portion body part or a body part non-visible or occluded in the depth image. A position or location of the non-visible or occluded portion or body part of the human target associated with the user may then be estimated.

Abstract: A capture device can detect gestures made by a user. The gestures can be used to control a gesture unaware program.

Abstract: An on-screen shopping application which reacts to a human target user's motions to provide a shopping experience to the user is provided. A tracking system captures user motions and executes a shopping application allowing a user to manipulate an on-screen representation the user. The on-screen representation has a likeness of the user or another individual and movements of the user in the on-screen interface allows the user to interact with virtual articles that represent real-world articles. User movements which are recognized as article manipulation or transaction control gestures are translated into commands for the shopping application.

Abstract: A system and related methods for an augmented reality help system in a head-mounted display device are provided. In one example, the head-mounted display device includes a plurality of sensors and a display system for presenting holographic objects. An augmented reality help program is configured to receive one or more user biometric parameters from the plurality of sensors. Based on the user biometric parameters, the program determines that the user is experiencing a stress response, and presents help content to the user via the head-mounted display device.

Abstract: Methods for providing real-time feedback to an end user of a mobile device as they are interacting with or manipulating one or more virtual objects within an augmented reality environment are described. The real-time feedback may comprise visual feedback, audio feedback, and/or haptic feedback. In some embodiments, a mobile device, such as a head-mounted display device (HMD), may determine an object classification associated with a virtual object within an augmented reality environment, detect an object manipulation gesture performed by an end user of the mobile device, detect an interaction with the virtual object based on the object manipulation gesture, determine a magnitude of a virtual force associated with the interaction, and provide real-time feedback to the end user of the mobile device based on the interaction, the magnitude of the virtual force applied to the virtual object, and the object classification associated with the virtual object.

Abstract: A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses.

Abstract: A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses.

Abstract: A system and related methods for an augmented reality help system in a head-mounted display device are provided. In one example, the head-mounted display device includes a plurality of sensors and a display system for presenting holographic objects. An augmented reality help program is configured to receive one or more user biometric parameters from the plurality of sensors. Based on the user biometric parameters, the program determines that the user is experiencing a stress response, and presents help content to the user via the head-mounted display device.

Abstract: A computing system comprises a see-through display device, a logic subsystem, and a storage subsystem storing instructions. When executed by the logic subsystem, the instructions display on the see-through display device a virtual arena, a user-controlled avatar, and an opponent avatar. The virtual arena appears to be integrated within a physical space when the physical space is viewed through the see-through display device. In response to receiving a user input, the instructions may also display on the see-through display device an updated user-controlled avatar.

Abstract: Systems, methods and computer readable media are disclosed for grouping complementary sets of standard gestures into gesture libraries. The gestures may be complementary in that they are frequently used together in a context or in that their parameters are interrelated. Where a parameter of a gesture is set with a first value, all other parameters of the gesture and of other gestures in the gesture package that depend on the first value may be set with their own value which is determined using the first value.

Abstract: It may be desirable to apply corrective data to aspects of captured image or the user-performed gesture for display of a visual representation that corresponds to the corrective data. The captured motion may be any motion in the physical space that is captured by the capture device, such as a camera. Aspects of a skeletal or mesh model of a person, that is generated based on the image data captured by the capture device, may be modified prior to animation. The modification may be made to the model generated from image data that represents a target or a target's motion, including user gestures, in the physical space. For example, certain joints of a skeletal model may be readjusted or realigned. A model of a target may be modified by applying differential correction, magnetism principles, binary snapping, confining virtual movement to defined spaces, or the like.